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Good Research Practice in Non-Clinical Pharmacology and Biomedicine

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Cover of 'Good Research Practice in Non-Clinical Pharmacology and Biomedicine'

Table of Contents

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    Book Overview
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    Chapter 274 Quality in Non-GxP Research Environment
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    Chapter 275 Guidelines and Initiatives for Good Research Practice
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    Chapter 276 Learning from Principles of Evidence-Based Medicine to Optimize Nonclinical Research Practices
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    Chapter 277 General Principles of Preclinical Study Design
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    Chapter 278 Resolving the Tension Between Exploration and Confirmation in Preclinical Biomedical Research
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    Chapter 279 Blinding and Randomization
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    Chapter 280 Out of Control? Managing Baseline Variability in Experimental Studies with Control Groups
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    Chapter 281 Quality of Research Tools
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    Chapter 282 Genetic Background and Sex: Impact on Generalizability of Research Findings in Pharmacology Studies
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    Chapter 284 Minimum Information and Quality Standards for Conducting, Reporting, and Organizing In Vitro Research.
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    Chapter 285 Minimum Information in In Vivo Research.
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    Chapter 286 A Reckless Guide to P-values
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    Chapter 288 Data Storage
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    Chapter 290 Publishers’ Responsibilities in Promoting Data Quality and Reproducibility
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    Chapter 292 Good Research Practice: Lessons from Animal Care and Use
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    Chapter 293 Research Collaborations and Quality in Research: Foes or Friends?
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    Chapter 294 Costs of Implementing Quality in Research Practice
Attention for Chapter 277: General Principles of Preclinical Study Design
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Chapter title
General Principles of Preclinical Study Design
Chapter number 277
Book title
Good Research Practice in Non-Clinical Pharmacology and Biomedicine
Published by
Springer, Berlin, Heidelberg, November 2019
DOI 10.1007/164_2019_277
Pubmed ID
Book ISBNs
978-3-03-033655-4, 978-3-03-033656-1
Authors

Wenlong Huang, Nathalie Percie du Sert, Jan Vollert, Andrew S. C. Rice

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Student > Bachelor 2 14%
Professor 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Agricultural and Biological Sciences 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Computer Science 1 7%
Medicine and Dentistry 1 7%
Other 1 7%
Unknown 5 36%